Mining social networks : uncovering interaction patterns in business processes

W.M.P. Aalst, van der; M.S. Song

doi:10.1007/b98280

Mining social networks : uncovering interaction patterns in business processes

W.M.P. Aalst, van der, M.S. Song

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

186 Citations (Scopus)

3 Downloads (Pure)

Abstract

Increasingly information systems log historic information in a systematic way. Workflow management systems, but also ERP, CRM, SCM, and B2B systems often provide a so-called event log, i.e., a log recording the execution of activities. Unfortunately, the information in these event logs is rarely used to analyze the underlying processes. Process mining aims at improving this by providing techniques and tools for discovering process, control, data, organizational, and social structures from event logs. This paper focuses on the mining social networks. This is possible because event logs typically record information about the users executing the activities recorded in the log. To do this we combine concepts from workflow management and social network analysis. This paper introduces the approach, defines metrics, and presents a tool to mine social networks from event logs.

Original language	English
Title of host publication	Business Process Management: Second International Conference, BPM 2004, Potsdam, Germany, June 17-18
Editors	J. Desel, B. Pernici, M. Weske
Place of Publication	Berlin
Publisher	Springer
Pages	244-260
ISBN (Print)	3-540-22235-9
DOIs	https://doi.org/10.1007/b98280
Publication status	Published - 2004
Event	2nd International Conference on Business Process Management (BPM 2004) - Potsdam, Germany Duration: 17 Jun 2004 → 18 Jun 2004 Conference number: 2

Publication series

Name	Lecture Notes in Computer Science
Volume	3080
ISSN (Print)	0302-9743

Conference

Conference	2nd International Conference on Business Process Management (BPM 2004)
Abbreviated title	BPM 2004
Country/Territory	Germany
City	Potsdam
Period	17/06/04 → 18/06/04

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10.1007/b98280

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Aalst, van der, W. M. P., & Song, M. S. (2004). Mining social networks : uncovering interaction patterns in business processes. In J. Desel, B. Pernici, & M. Weske (Eds.), Business Process Management: Second International Conference, BPM 2004, Potsdam, Germany, June 17-18 (pp. 244-260). (Lecture Notes in Computer Science; Vol. 3080). Springer. https://doi.org/10.1007/b98280

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title = "Mining social networks : uncovering interaction patterns in business processes",

abstract = "Increasingly information systems log historic information in a systematic way. Workflow management systems, but also ERP, CRM, SCM, and B2B systems often provide a so-called event log, i.e., a log recording the execution of activities. Unfortunately, the information in these event logs is rarely used to analyze the underlying processes. Process mining aims at improving this by providing techniques and tools for discovering process, control, data, organizational, and social structures from event logs. This paper focuses on the mining social networks. This is possible because event logs typically record information about the users executing the activities recorded in the log. To do this we combine concepts from workflow management and social network analysis. This paper introduces the approach, defines metrics, and presents a tool to mine social networks from event logs.",

author = "{Aalst, van der}, W.M.P. and M.S. Song",

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doi = "10.1007/b98280",

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pages = "244--260",

editor = "J. Desel and B. Pernici and M. Weske",

booktitle = "Business Process Management: Second International Conference, BPM 2004, Potsdam, Germany, June 17-18",

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note = "2nd International Conference on Business Process Management (BPM 2004), BPM 2004 ; Conference date: 17-06-2004 Through 18-06-2004",

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Aalst, van der, WMP & Song, MS 2004, Mining social networks : uncovering interaction patterns in business processes. in J Desel, B Pernici & M Weske (eds), Business Process Management: Second International Conference, BPM 2004, Potsdam, Germany, June 17-18. Lecture Notes in Computer Science, vol. 3080, Springer, Berlin, pp. 244-260, 2nd International Conference on Business Process Management (BPM 2004), Potsdam, Germany, 17/06/04. https://doi.org/10.1007/b98280

Mining social networks : uncovering interaction patterns in business processes. / Aalst, van der, W.M.P.; Song, M.S.
Business Process Management: Second International Conference, BPM 2004, Potsdam, Germany, June 17-18. ed. / J. Desel; B. Pernici; M. Weske. Berlin: Springer, 2004. p. 244-260 (Lecture Notes in Computer Science; Vol. 3080).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

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M3 - Chapter

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T2 - 2nd International Conference on Business Process Management (BPM 2004)

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Mining social networks : uncovering interaction patterns in business processes

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